A survey on uncertainty reasoning and quantification in belief theory and its application to deep learning.
Zhen GuoZelin WanQisheng ZhangXujiang ZhaoQi ZhangLance M. KaplanAudun JøsangDong Hyun JeongFeng ChenJin-Hee ChoPublished in: Inf. Fusion (2024)
Keyphrases
- deep learning
- belief functions
- imprecise probabilities
- probability theory
- evidential reasoning
- decision theory
- unsupervised learning
- unsupervised feature learning
- deep architectures
- machine learning
- mental models
- expected utility
- weakly supervised
- knowledge representation
- model selection
- bayesian networks
- knowledge base
- data mining